Yann Dupis
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
- Privacy & Security — 6 citations into it
Whom Yann Dupis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yann Dupis's perspective
Ordered by how strongly the researchers Yann Dupis trusts endorse each paper. Same corpus, a different order for every researcher.
- SecureML: A System for Scalable Privacy-Preserving Machine Learning
- ABY3: A Mixed Protocol Framework for Machine Learning
- Multiparty Computation from Somewhat Homomorphic Encryption
- Gazelle: A Low Latency Framework for Secure Neural Network Inference
- TensorFlow: A system for large-scale machine learning
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
- Extending Oblivious Transfers Efficiently
- The Knowledge Complexity of Interactive Proof Systems
- Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
- DeepSecure: Scalable Provably-Secure Deep Learning
Their papers
- Private Machine Learning in TensorFlow using Secure Computation (2018) — 86 citations